Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1289/EHP2252 |
Spatial Variation of Endotoxin Concentrations Measured in Ambient PM10 in a Livestock-Dense Area: Implementation of a Land-Use Regression Approach | |
de Rooij, Myrna M. T.1; Heederik, Dick J. J.1; van Nunen, Erik J. H. M.1; van Schothorst, Isabella J.1; Maassen, Catharina B. M.2; Hoek, Gerard1; Wouters, Inge M.1 | |
2018 | |
发表期刊 | ENVIRONMENTAL HEALTH PERSPECTIVES |
ISSN | 0091-6765 |
EISSN | 1552-9924 |
出版年 | 2018 |
卷号 | 126期号:1 |
文章类型 | Article |
语种 | 英语 |
国家 | Netherlands |
英文摘要 | BACKGROUND: Results from studies on residential health effects of livestock farming are inconsistent, potentially due to simple exposure proxies used (e.g., livestock density). Accuracy of these proxies compared with measured exposure concentrations is unknown. OBJECTIVES: We aimed to assess spatial variation of endotoxin in PM10 (particulate matter <= 10 pm) at residential level in a livestock-dense area, compare simple livestock exposure proxies to measured endotoxin concentrations, and evaluate whether land-use regression (LUR) can be used to explain spatial variation of endotoxin. METHODS: The study area (3,000 km(2)) was located in Netherlands. Ambient PM10 was collected at 61 residential sites representing a variety of surrounding livestock-related characteristics. Three to four 2-wk averaged samples were collected at each site. A local reference site was used for temporal variation adjustment. Samples were analyzed for PM10 mass by weighing and for endotoxin by using the limulus amebocyte lysate assay. Three LUR models were developed, first a model based on general livestock-related GIS predictors only, followed by models that also considered species specific predictors and farm type specific predictors. RESULTS: Variation in concentrations measured between sites was substantial for endotoxin and more limited for PM10 (coefficient of variation: 43%, 8%, respectively); spatial patterns differed considerably. Simple exposure proxies were associated with endotoxin concentrations although spatial variation explained was modest (R-2 < 26%). LUR models using a combination of animal-specific livestock-related characteristics performed markedly better, with up to 64% explained spatial variation. CONCLUSION: The considerable spatial variation of ambient endotoxin concentrations measured in a livestock-dense area can largely be explained by LUR modeling based on livestock-related characteristics. Application of endotoxin LUR models seems promising for residential exposure estimation within health studies. |
领域 | 资源环境 |
收录类别 | SCI-E |
WOS记录号 | WOS:000424212100009 |
WOS关键词 | ANIMAL FEEDING OPERATIONS ; AIR-POLLUTION EXPOSURE ; NEIGHBORING RESIDENTS ; PARTICULATE MATTER ; ESCAPE PROJECT ; ASTHMA PREVALENCE ; PM2.5 ABSORBENCY ; MODELS ; HEALTH ; BIOAEROSOLS |
WOS类目 | Environmental Sciences ; Public, Environmental & Occupational Health ; Toxicology |
WOS研究方向 | Environmental Sciences & Ecology ; Public, Environmental & Occupational Health ; Toxicology |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/24179 |
专题 | 资源环境科学 |
作者单位 | 1.Univ Utrecht, Inst Risk Assessment Sci, Div Environm Epidemiol, Utrecht, Netherlands; 2.Natl Inst Publ Hlth & Environm RIVM, Bilthoven, Netherlands |
推荐引用方式 GB/T 7714 | de Rooij, Myrna M. T.,Heederik, Dick J. J.,van Nunen, Erik J. H. M.,et al. Spatial Variation of Endotoxin Concentrations Measured in Ambient PM10 in a Livestock-Dense Area: Implementation of a Land-Use Regression Approach[J]. ENVIRONMENTAL HEALTH PERSPECTIVES,2018,126(1). |
APA | de Rooij, Myrna M. T..,Heederik, Dick J. J..,van Nunen, Erik J. H. M..,van Schothorst, Isabella J..,Maassen, Catharina B. M..,...&Wouters, Inge M..(2018).Spatial Variation of Endotoxin Concentrations Measured in Ambient PM10 in a Livestock-Dense Area: Implementation of a Land-Use Regression Approach.ENVIRONMENTAL HEALTH PERSPECTIVES,126(1). |
MLA | de Rooij, Myrna M. T.,et al."Spatial Variation of Endotoxin Concentrations Measured in Ambient PM10 in a Livestock-Dense Area: Implementation of a Land-Use Regression Approach".ENVIRONMENTAL HEALTH PERSPECTIVES 126.1(2018). |
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